R. Hamid, S. Maddi, A. Bobick, I. Essa. “Unsupervised Analysis of Activity Sequences Using Event Motifs”, In proceedings of 4th ACM International Workshop on Video Surveillance and Sensor Networks (in conjunction with ACM Multimedia 2006). Abstract We present an unsupervised framework to discover characterizations of everyday human activities, and demonstrate how such representations can be […]
Paper: ACM UIST (2006) "Videotater: an approach for pen-based digital video segmentation and tagging"
Diakopoulos, N. and Essa, I. (2006). Videotater: an approach for pen-based digital video segmentation and tagging. In Proceedings of the 19th Annual ACM Symposium on User interface Software and Technology (Montreux, Switzerland, October 15 – 18, 2006). UIST ’06. ACM Press, New York, NY, 221-224. [DOI] Abstract The continuous growth of media databases necessitates development […]
Discovering Characteristic Actions from On-Body Sensor Data (IEEEXplore) Minnen, D. Starner, T. Essa, I. Isbell, C. College of Computing, Georgia Institute of Technology, Atlanta, GA 30332 USA. This paper appears in: Wearable Computers, 2006 10th IEEE International Symposium on Publication Date: Oct. 2006 On page(s): 11 – 18 Number of Pages: 11 – 18 Location: […]